About You

Consider applying to this role if you’re a passionate, first-principles, Engineering Leader whose career has found them leading efforts that directly support Machine Learning and Data Science teams in production environments. ML is at the very core of what we do & we come by it naturally.

So you’re “that type” of leader? Then you really should consider applying if you’ve found yourself:

• Justifying “Why ML matters” to your customers or leadership
• Spending countless hours explaining to your leadership team how you can’t just “toss in some AI” 
• You’re tired of explaining to your (fourth!) recruiting partner how “machine learning ≠ fancy reporting”

Lastly, you should DEFINITELY apply if: 

• You want what you (and your team) do to have a massive & positive impact on the people who use what you create
• You want to lead a team of highly-capable & world-class individuals from diverse backgrounds who are all dedicated to achieving the same mission
• You think a culture of listening to customers empowers the next generation of successes

About the Role & Team 

As the Senior Engineering Manager for our central “Core Detection” team, you and your team are ultimately responsible for the main product and capabilities at the heart of Abnormal Security. The systems you help create are the heart of determining whether user behavior is an attack, a scam, legitimate business communication, or just something out of the ordinary.

We protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to Security. That’s what makes our novel behavioral-based approach so…Abnormal.

The team you lead here will own the core set of ML models and the critical detection control layer which orchestrates across these models, rules, and algorithms to drive an informed decision. The team is also responsible for an ML Training Platform that enables automatically retraining and deploying our models to constantly adapt with the evolving threat landscape.

As such, we’re looking for a leader whose core focus has been on facilitating the growth and success of ML-adjacent, ML-in-production-deployed, software engineering teams. The team is focused on production and wouldn’t be great for someone focused on "research." 

Qualifications: 

• 5+ years of professional experience as a hands-on engineer (either MLE or SWE) building data-oriented products and/or ML systems/products
• 2+ years of managing end-to-end, production, ML solutions or ML-adjacent Software Engineering teams
• Experience with real-time, online, and/or high-throughput & low-latency distributed systems
• Ability to work with cross-functional teams & customers to establish requirements and ensure their downstream clarity
• Ability to create and execute on hiring plans to meet roadmap deliverables and budgetary requirements
• Ability to establish and maintain repeatable processes to streamline design docs, roadmap planning, and overall goal tracking and attainment.
• Ability to identify potential technical roadblocks and help provide proven solutions to avoid/mitigate
• Experience in “security” is not required but we welcome those passionate about Fraud, Security, Safety, or similar domains. Equally common to the team are backgrounds rooted in Rank & Recommendation, Search, Ad Tech, and others.  

#LI-ML1